bandit algorithm

AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models AAAI 2026 Early-Exit and Instant Confidence Translation Quality Estimation EACL 2026 Multi-Armed Bandits Meet Large Language Models AAAI 2026 A Survey on Bandit Learning in Matching Markets IJCAI 2025 Bandit Based Attention Mechanism in Vision Transformers WACV 2025 BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms ICML 2025 Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025 Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health MLHC 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024 Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024 Dissimilarity Bandits AISTATS 2024 Enhancing Preference-based Linear Bandits via Human Response Time NeurIPS 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 On Weak Regret Analysis for Dueling Bandits NeurIPS 2024 Optimal Multi-Fidelity Best-Arm Identification NeurIPS 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024 Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments RSS 2023 Competition, Alignment, and Equilibria in Digital Marketplaces AAAI 2023 Covariance-adaptive best arm identification NeurIPS 2023 Improving the Knowledge Gradient Algorithm NeurIPS 2023 Last Switch Dependent Bandits with Monotone Payoff Functions ICML 2023